首页|Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology
Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology
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Network pharmacology is an interdisciplinary field that utilizes computer science,technology,and bio-logical networks to investigate the intricate interplay among compounds/ingredients,targets,and dis-eases.Within the realm of traditional Chinese medicine(TCM),network pharmacology serves as a scientific approach to elucidate the compatibility relationships and underlying mechanisms of action in TCM formulas.It facilitates the identification of potential active ingredients within these formulas,pro-viding a comprehensive understanding of their holistic and systematic nature,which aligns with the holistic principles inherent in TCM theory.TCM formulas exhibit complexity due to their multi-component characteristic,involving diverse targets and pathways.Consequently,investigating their material basis and mechanisms becomes challenging.Network pharmacology has emerged as a valuable approach in TCM formula research,leveraging its holistic and systematic advantages.The manuscript aims to provide an overview of the application of network pharmacology in studying TCM formula com-patibility rules and explore future research directions.Specifically,we focus on how network pharmacol-ogy aids in interpreting TCM pharmacological theories and understanding formula compositions.Additionally,we elucidate the process of utilizing network pharmacology to identify active ingredients within TCM formulas.These findings not only offer novel research models and perspectives for integrat-ing network pharmacology with TCM theory but also present new methodologies for investigating TCM formula compatibility.All in all,network pharmacology has become an indispensable and crucial tool in advancing TCM formula research.
active ingredientscompatibility rulesmolecular mechanismnetwork analysisnetwork pharmacologysystems biologytarget predictiontraditional chinese medicine
Yishu Liu、Xue Li、Chao Chen、Nan Ding、Shiyu Ma、Ming Yang
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Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 200032,China
Ruijin Hospital Affiliated to Shanghai Jiaotong University,Shanghai 200025,China
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